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Description
CANULAS PARA DRENAJE TORACICO. ANGULADA CON MARCA RADIOPACA LONGITUD 45 CM. CALIBRE 40 FR.
IMSS product code
060.166.1655.01
Each circle represents one of the 2 purchases of CÁNULAS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 466.9 MXN | 64.4 MXN | 16 % | 0.8 | 3 de mayo de 2010 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 939.6 MXN | 129.6 MXN | 16 % | 0.16 | 15 de junio de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DURFA, S. A. DE C. V. | 1 | 129.6 MXN | 16 % | 0.16 | 2011 - 2011 |
| SUMINISTROS FEGA, S.A. DE C.V. | 1 | 64.4 MXN | 16 % | 0.8 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.166.1655.01")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.166.1655.01')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.166.1655.01')